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. 2019 Jun 25;9(1):010811. doi: 10.7189/jogh.09.010811

Table 6.

Predicted probabilities of the correct treatment, referral, and counseling of children seen by HSAs in districts using the iCCM mobile application and paper tools

Treatment/ Referral/Counseling
iCCM mobile application

Paper tools
P-value†
N
Weighted %
95% CI
N
Weighted %
95% CI
Treatment:
Children with cough and fast breathing, positive mRDT, or diarrhoea who are correctly prescribed all medications (antibiotic, antimalarial drug, or ORS and zinc) for their illnesses
223
69.9
62.5, 77.4
186
64.7
58.8, 70.6
0.267
Children with cough and fast breathing who are prescribed an antibiotic correctly
73
70.8
67.9, 73.8
53
74.6
71.1, 78.2
0.147
Children with fever and positive mRDT who are prescribed an antimalarial drug correctly
80
80.0
75.6, 84.5
89
51.8
47.0, 56.7
<0.001
Children with diarrhoea who are prescribed ORS and zinc correctly
106
66.8
56.2, 77.5
78
68.7
60.1, 77.3
0.760
Children without cough and fast breathing who would have left the HSA without having received an antibiotic
349
97.3
94.3,100.0
297
98.2
96.2, 100.0
0.561
Referral:
Children with danger signs needing referral who are referred
96
87.0
83.9, 90.1
88
70.8
57.0, 84.6
0.010
Counseling:
Children who need an antibiotic, ORS and zinc, or antimalarial drug who receive the correct first dose in presence of HSA
223
28.5
18.2, 38.9
186
35.5
25.6, 45.3
0.373
Caregivers of children with cough and fast breathing, positive mRDT, or diarrhoea who are counseled on their illnesses
233
29.0
19.6, 38.4
204
46.4
33.3, 59.6
0.058
Cough and fast breathing
79
58.7
53.1, 64.2
61
65.0
60.2, 69.8
0.155
Diarrhoea
114
5.4
2.4, 8.3
89
23.0
8.0, 38.0
0.014
Fever and positive mRDT 83
57.2
47.2, 67.2
93
64.7 51.3, 78.2
0.374

iCCM – integrated community case management, HSA – health surveillance assistant, MUAC – mid-upper arm circumference, mRDT – malaria rapid diagnostic test, ORS – oral rehydration salts

*HSAs prescribed antimalarial drugs for less than 0.5 percent of children with fever and negative mRDT. Probabilities adjusted for child characteristics (age and gender), HSA characteristics (gender, highest education level, tenure as an HSA, type and duration since most recent iCCM training, patient case load, and village clinic location), and district characteristics (access to improved water source and median number of years of women’s education) using logistic regression with standard errors clustered at the HSA level.

†Compared against Holm-Bonferroni adjusted significance levels.